Software Engineer, Machine Health
Job Overview
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Date PostedApril 11, 2026
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Location
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Expiration date--
Job Description
2026-03-30T13:00:37.424Z
89576118125765318
Minimum qualifications:
- Bachelor’s degree in Computer Science, or related technical field, or equivalent practical experience.
- 2 years of experience with coding in C++ and Python, or 1 year of experience with an advanced degree.
- 2 years of experience with large-scale data processing.
- 1 year of experience with distributed systems.
Preferred qualifications:
- Master’s degree or PhD in Computer Science, or a related technical field.
- 2 years of experience with data analytics.
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2 years of experience with coding in JavaScript.
- 2 years of experience with SQL.
- 2 years of experience with object-oriented analysis and design.
About the job
Google’s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We’re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will be directly responsible for delivering reliable machine learning, compute, and storage for use by all Google products and Cloud customers.
Responsibilities
- Think about processing data in a large distributed system, correlating and pinpointing failures.
- Specialize in mitigation which is a critical high-reliability and safety problem.
- Specialize in repair automation which is a data processing and ML problem.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.